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In light of the growing interest in actuarial sciences worldwide, and the significant increase in demand for it, the Society of Actuaries SOA is eager to prepare and welcome the next generation of actuaries, through a series of professional exams specialized in the actuarial field. This training program is designed to qualify participants and provide them with the knowledge and skills necessary to pass the P Exam (probability), through familiarity with fundamental probability tools for quantitatively assessing risk The application of these tools to problems encountered in actuarial science is emphasized. As well as a comprehensive understanding of calculus and basic knowledge of insurance and risk management.
In light of the growing interest in actuarial sciences worldwide, and the significant increase in demand for it, the Society of Actuaries SOA is eager to prepare and welcome the next generation of actuaries, through a series of professional exams specialized in the actuarial field. This training program is designed to qualify participants and provide them with the knowledge and skills necessary to pass the P Exam (probability), through familiarity with fundamental probability tools for quantitatively assessing risk The application of these tools to problems encountered in actuarial science is emphasized. As well as a comprehensive understanding of calculus and basic knowledge of insurance and risk management.
Banking
Capital Market
Insurance
Financing
Actuary
Risk Management
Actuarial
Not Exist
Lecture
Exercises and assignments
Pre Exam
Post Exam +1
Pre Exam
Post Exam
Simulation Test for professional exam
Actuary
Risk Management
Purchase Program
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In Class Training
Basic Probability Concepts
Conditional Probability and Independence
Bayes' Theorem
Counting Techniques and Combinatorial Probability
In Class Training
Random Variables
Moments
Moment and Probability Generating Functions
Percentiles, Mode, Skewness, and Kurtosis
Chebyshev's Inequality
Univariate Transformations
Discrete Distributions: Discrete Uniform
Discrete Distributions: Bernoulli and Binomial
Discrete Distributions: Hypergeometric
Discrete Distributions: Geometric
Discrete Distributions: Negative Binomial
Discrete Distributions: Poisson
Continuous Distributions: Continuous Uniform
Continuous Distributions: Exponential
Continuous Distributions: Gamma
Continuous Distributions: Normal
Continuous Distributions: Shifting and Scaling
In Class Training
Joint Distributions and Marginal Distributions
Conditional Distributions
Independence of Random Variables
Covariance and Coefficient of Correlation
Joint Moment Generating Functions
Multivariate Transformations
Convolution
Multivariate Distributions: Multinomial
Multivariate Distributions: Bivariate Uniform
Multivariate Distributions: Bivariate Normal
Normal Approximation
Order Statistics
In Class Training
Deductible
Policy Limit
Coinsurance and Inflation
In Class Training
Simulation Exam: P
Understand basic probability concepts, combinatorics, and discrete mathematics.
Understand key concepts concerning discrete and continuous univariate random variables (including binomial, negative binomial, geometric, hypergeometric, Poisson, uniform, exponential, gamma, normal, lognormal, and beta) and their applications.
Understand key concepts concerning multivariate discrete random variables, the distribution of order statistics, and linear combinations of independent random variables, along with associated applications.
